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Stochastic validation of structural FE-models based on hierarchical cluster analysis and advanced Monte Carlo simulation
10 references·1 citing·43 second hop
Stochastic validation of structural FE-models based on hierarchical cluster analysis and advanced Monte Carlo simulation (2013)Stochastic validation of structural FE-mo…Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…Experimental case studies for uncertainty quantification in structural dynamics (2009)Experimental case studies for…Uncertainty-based loads analysis for spacecraft: Finite element model validation and dynamic responses (2005)Uncertainty-based loads analy…Model Validation via Uncertainty Propagation and Data Transformations (2004)Model Validation via Uncertai…A critical appraisal of reliability estimation procedures for high dimensions (2004)A critical appraisal of relia…Reduced models for the medium-frequency dynamics of stochastic systems (2003)Reduced models for the medium…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Uncertainty quantification in computational structural dynamics : A new paradigm for model validation (1998)Uncertainty quantification in…Monte Carlo techniques in computational stochastic mechanics (1998)Monte Carlo techniques in com…Stochastic Structural Dynamics: Progress in Theory and Applications (1988)Stochastic Structural Dynamic…Uncertainty in Engineering (2021)Uncertainty in EngineeringThe stochastic finite-element method (1980)Stochastic Finite Elements: A Spectral Approach (1991)Verification, validation, and predictive capability in computational engineering and physics (2004)Robustness of structural reliability analyses to epistemic uncertainties (2012)A stochastic methodology for predictions of the environment created by multiple microvibration sources (2015)Recent advances in uncertainty quantification in structural response characterization and system identification (2023)Reliability analysis—a review and some perspectives (2001)On Latin hypercube sampling for structural reliability analysis (2002)A survey on approaches for reliability-based optimization (2010)Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)MCMC algorithms for Subset Simulation (2015)Design and Analysis of Computer Experiments (1989)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Design-Driven Validation Approach Using Bayesian Prediction Models (2007)Validation of imprecise probability models (2009)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Realistic and efficient reliability estimation for aerospace structures (2004)A statistical characterization method for damping material properties and its application to structural-acoustic system design (2011)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Empirical Model Building and Response Surfaces (1988)Neural-network-based reliability analysis: a comparative study (2001)A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling (2004)Practical Application of the Stochastic Finite Element Method (2014)Dynamic analysis of framed structures with statistical uncertainties (1999)Ingredients for a general purpose stochastic finite elements implementation (1999)Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach (1999)Uncertain Dynamical Systems in the Medium-Frequency Range (2003)Uncertainty in structural dynamics: Experimental validation of a Wishart random matrix model (2009)Polynomial Chaos: Modeling, Estimation, and Approximation (2017)Probability, reliability and statistical methods in engineering design (1999)Probability, Reliability and Statistical Methods in Engineering Design (2001)Quantitative model validation techniques: New insights (2012)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Dynamic stiffness of randomly parametered beams (1998)State of the art of composite structures in non-deterministic framework: A review (2018)Methodology for characterizing modeling and discretization uncertainties in computational simulation (2000)An Economic Design Change Method (2003)Comprehensive Framework for Integration of Calibration, Verification and Validation (2012)
this work references cited by second hop

References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2004A critical appraisal of reliability estimation procedures for high dimensions476 cited
  • 1998Monte Carlo techniques in computational stochastic mechanics308 cited
  • 2011Toward a Better Understanding of Model Validation Metrics175 cited
  • 2004Model Validation via Uncertainty Propagation and Data Transformations112 cited
  • 1988Stochastic Structural Dynamics: Progress in Theory and Applications92 cited
  • 2009Experimental case studies for uncertainty quantification in structural dynamics58 cited
  • 2005Uncertainty-based loads analysis for spacecraft: Finite element model validation and dynamic responses46 cited
  • 1998Uncertainty quantification in computational structural dynamics : A new paradigm for model validation39 cited
  • 2003Reduced models for the medium-frequency dynamics of stochastic systems37 cited

Cited by

  • 2021Uncertainty in Engineering14 cited

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